Correction to: European Review for Medical and Pharmacological Sciences 2021; 25 (18): 5690-5700-DOI: 10.26355/eurrev_202109_26788-PMID: 34604961, published online on 30 September 2021. After publication, the authors applied to change the first two lines of Table II as the second column results were erroneously shifted in the first column. In this way, the results were quite difficult to understand. There are amendments to this paper. The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/26788.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.26355/eurrev_202204_28446 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Central venous pressure as a method of optimising atrio-ventricular delay after cardiac surgery.
PLoS One
January 2025
National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Introduction: Haemodynamic atrioventricular delay (AVD) optimisation has primarily focussed on signals that are not easy to acquire from a pacing system itself, such as invasive left ventricular catheterisation or arterial blood pressure (ABP). In this study, standard clinical central venous pressure (CVP) signals are tested as a potential alternative.
Methods: Sixteen patients with a temporary pacemaker after cardiac surgery were studied.
Artificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study.
PLoS One
January 2025
Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil.
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.
View Article and Find Full Text PDFOutcomes of Triceps Surae Lengthening Surgery in Children With Charcot-Marie-Tooth Disease: A Multisite Investigation.
J Pediatr Orthop
January 2025
Jackie and Gene Autry Orthopedic Center, Children's Hospital Los Angeles, Los Angeles, CA.
Background: Orthopaedic surgical intervention in children with Charcot-Marie-Tooth (CMT) often includes triceps surae lengthening (TSL) and foot procedures to address instability and pain due to equinus and cavovarus deformities. These surgeries may unmask underlying weakness in this progressive disease causing increased calcaneal pitch and excessive dorsiflexion in terminal stance leading to crouch. The purpose of this study was to evaluate changes in ankle function during gait following TSL surgery in children with CMT.
View Article and Find Full Text PDFUse of ChatGPT to Generate Informed Consent for Surgery in Urogynecology.
Urogynecology (Phila)
January 2025
From the Division of Urogynecology, Walter Reed National Military Medical Center, Bethesda, MD.
Importance: Use of the publicly available Large Language Model, Chat Generative Pre-trained Transformer (ChatGPT 3.5; OpenAI, 2022), is growing in health care despite varying accuracies.
Objective: The aim of this study was to assess the accuracy and readability of ChatGPT's responses to questions encompassing surgical informed consent in urogynecology.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!